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Understanding college students’ continuous usage intention of asynchronous online courses through extended technology acceptance model
Asynchronous online learning has gained great popularity in higher education, especially due to the recent COVID-19 pandemic. However, few studies have investigated how to maintain students’ continuous usage intention of asynchronous online courses in the context of higher education. This study inco...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9843658/ https://www.ncbi.nlm.nih.gov/pubmed/36688218 http://dx.doi.org/10.1007/s10639-023-11591-1 |
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author | Lu, Kaili Pang, Feng Shadiev, Rustam |
author_facet | Lu, Kaili Pang, Feng Shadiev, Rustam |
author_sort | Lu, Kaili |
collection | PubMed |
description | Asynchronous online learning has gained great popularity in higher education, especially due to the recent COVID-19 pandemic. However, few studies have investigated how to maintain students’ continuous usage intention of asynchronous online courses in the context of higher education. This study incorporated four key factors (intrinsic motivation, extrinsic motivation, perception of multiple sources, and cognitive engagement) associated with students’ continuous usage intention of asynchronous online courses into technology acceptance model (TAM) to identify the influencing factors on students’ continuous usage intention. A survey with 325 college students was conducted to explore their continuous usage intention of asynchronous online courses and structural equation modeling analysis was carried out to analyze the relationships between the key influencing factors and students’ continuous usage intention. The results showed that cognitive engagement was the only factor that directly related to continuous usage intention. Intrinsic motivation, extrinsic motivation, and perception of multiple sources indirectly correlated with students’ continuous usage intention through different pathways. The results of the study have several theoretical and practical implications. Theoretically, the study verified what key learning factors incorporated into TAM and in what way they relate to the continuous usage intention of asynchronous online courses. Practically, the present study indicated that it is required to take intrinsic motivation, extrinsic motivation, perception of multiple sources, cognitive engagement and TAM into consideration when designing and conducting asynchronous online learning courses to ensure college students’ continuous usage intention of asynchronous online courses. |
format | Online Article Text |
id | pubmed-9843658 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-98436582023-01-17 Understanding college students’ continuous usage intention of asynchronous online courses through extended technology acceptance model Lu, Kaili Pang, Feng Shadiev, Rustam Educ Inf Technol (Dordr) Article Asynchronous online learning has gained great popularity in higher education, especially due to the recent COVID-19 pandemic. However, few studies have investigated how to maintain students’ continuous usage intention of asynchronous online courses in the context of higher education. This study incorporated four key factors (intrinsic motivation, extrinsic motivation, perception of multiple sources, and cognitive engagement) associated with students’ continuous usage intention of asynchronous online courses into technology acceptance model (TAM) to identify the influencing factors on students’ continuous usage intention. A survey with 325 college students was conducted to explore their continuous usage intention of asynchronous online courses and structural equation modeling analysis was carried out to analyze the relationships between the key influencing factors and students’ continuous usage intention. The results showed that cognitive engagement was the only factor that directly related to continuous usage intention. Intrinsic motivation, extrinsic motivation, and perception of multiple sources indirectly correlated with students’ continuous usage intention through different pathways. The results of the study have several theoretical and practical implications. Theoretically, the study verified what key learning factors incorporated into TAM and in what way they relate to the continuous usage intention of asynchronous online courses. Practically, the present study indicated that it is required to take intrinsic motivation, extrinsic motivation, perception of multiple sources, cognitive engagement and TAM into consideration when designing and conducting asynchronous online learning courses to ensure college students’ continuous usage intention of asynchronous online courses. Springer US 2023-01-17 /pmc/articles/PMC9843658/ /pubmed/36688218 http://dx.doi.org/10.1007/s10639-023-11591-1 Text en © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023, Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Article Lu, Kaili Pang, Feng Shadiev, Rustam Understanding college students’ continuous usage intention of asynchronous online courses through extended technology acceptance model |
title | Understanding college students’ continuous usage intention of asynchronous online courses through extended technology acceptance model |
title_full | Understanding college students’ continuous usage intention of asynchronous online courses through extended technology acceptance model |
title_fullStr | Understanding college students’ continuous usage intention of asynchronous online courses through extended technology acceptance model |
title_full_unstemmed | Understanding college students’ continuous usage intention of asynchronous online courses through extended technology acceptance model |
title_short | Understanding college students’ continuous usage intention of asynchronous online courses through extended technology acceptance model |
title_sort | understanding college students’ continuous usage intention of asynchronous online courses through extended technology acceptance model |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9843658/ https://www.ncbi.nlm.nih.gov/pubmed/36688218 http://dx.doi.org/10.1007/s10639-023-11591-1 |
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